learndeck
Enables AI-assisted learning through structured courses with Socratic guidance, evaluating user answers against rubrics and managing learning progress locally.
README
LearnDeck — your app for learning with AI
LearnDeck is a forkable, local app for learning with AI without outsourcing your thinking. It pairs structured, project-based courses with the learner's own workspace. An MCP-connected AI is a calm, Socratic guide: it asks the next useful question, evaluates a visible answer against an author-written rubric, and never writes the learner's solution for them. Answers, evidence, feedback, and learning records stay in local SQLite.
Courses live in the public catalogue at learn-deck/courses and sync into the app; the v0.1 flagship is DDD and Hexagonal Architecture — six to eight hours of Node.js + TypeScript in satisfying 45–60-minute building sessions. This repository bundles only a small format example pack for documentation and development. The format remains course-agnostic while the default catalogue grows deliberately and stays curated for quality. See the product position and catalogue quality rubric.
Run locally
Requires Bun 1.3 or newer. Check your version first:
bun --version
From this clone, install dependencies and start the app:
bun install
bun run app
If startup reports EADDRINUSE or that port 3030 is already in use, stop the
other LearnDeck process, or run PORT=3031 bun run app and open the URL
LearnDeck prints.
Open http://127.0.0.1:3030. LearnDeck creates local
progress at .learndeck/progress.db. Set LEARNDECK_DB_PATH to use a separate
database.
What stays local
- Progress is SQLite at
.learndeck/progress.db;LEARNDECK_DB_PATHoverrides it. - Connecting Codex targets
~/.codex/config.toml, Cursor targets~/.cursor/mcp.json, and Claude Code targets~/.claude.json. - A connection adds exactly one
learndeckMCP entry to the selected guide. Disconnect removes only that entry throughDELETE /api/integrations/:id/connect. - Per-path progress can be exported with
GET /api/paths/:id/exportor reset withDELETE /api/paths/:id.
The primary catalogue is the public GitHub course repository; while no
repository is configured, only the bundled example-course format pack
loads, which keeps development working offline. To select the public catalogue, copy the release
configuration before bun run app:
cp .env.example .env
The release configuration selects github:learn-deck/courses@main. When the
learner clicks Start Now, LearnDeck syncs only Markdown under courses/
and references/ into its local cache. If GitHub is unavailable, it uses the
last complete cache. A fork can set a different
LEARNDECK_COURSE_REPOSITORY=github:your-org/courses@main. To publish a
course of your own, follow public course
distribution; for failures, see
troubleshooting.
On first launch, LearnDeck:
- detects Codex, Cursor, and Claude Code locally without launching them or reading credentials;
- lets the learner choose any detected Codex, Cursor, and Claude Code hosts, adding only LearnDeck's own MCP entry to those selected and asking for a restart;
- lets the learner choose an active guide and switch among connected guides without losing local progress;
- introduces the app, lets the learner explore courses by category, and makes each course's time, level, and outcome visible before entry;
- asks only for the learner's project workspace after they choose a course; and
- displays the next action, sources, questions, answer history, and source-linked agent feedback.
Connection is opt-in. The app never installs an agent, starts a learner's server, runs submitted code, or changes unrelated MCP servers.
Add a course
bun run seed -- api-design-basics "API Design Basics"
This creates a Markdown-only course pack (seeding fails if the course ID already exists, so pick a new one):
courses/api-design-basics/
course.md
modules/00-orient.md
course.md contains course identity, category, tags, duration, outcomes,
prerequisites, and the runtime the app resolves for the learner. Each ordered
Markdown module contains its goal, bounded action, source links, questions, and
author-written evaluation rubrics in YAML front matter plus learner-facing
Markdown. The loader validates local source links are real .md files. See
the course-pack standard for the diagram, contract,
and authoring checklist.
The browser UI is a dark-first learning environment with local theme preference, Focus Mode, section-based progress, and accessible source-rendered lesson blocks. Its maintainable design rules live in the UI system.
Agent integration
LearnDeck exposes one local stdio MCP server. Use the app's Connect button for Codex, Cursor, or Claude Code. Another compatible host can use the equivalent of:
{
"mcpServers": {
"learndeck": {
"command": "/absolute/path/to/bun",
"args": ["/absolute/path/to/learndeck/src/mcp.ts"]
}
}
}
The documented tools list courses, paths, progress, the next activity, reported evidence, and submitted-answer evaluation. See MCP integration.
Verify
bun run verify
Optional: a local macOS app
On macOS you can build a double-clickable LearnDeck.app for your own machine.
It needs swiftc (Xcode Command Line Tools) and Bun:
bash scripts/package-macos.sh
open dist/LearnDeck.app
The script compiles the server into a standalone binary, stages public/,
courses/, and references/ inside the bundle, and compiles a native
AppKit/WKWebView shell (native/macos/LearnDeckApp.swift). Launching the app
starts the server on a free local port and opens a native window; quitting the
app stops the server. The app's data lives outside the bundle at
~/Library/Application Support/LearnDeck/ (progress.db, course-cache/,
and server.log), so rebuilds never touch progress.
This is developer tooling, not a distribution channel: the app is unsigned and not notarized, and the supported install remains cloning the repository. One known limitation: connecting an AI guide from the packaged app writes an MCP entry that points at this repository checkout, so keep the clone in place or reconnect after moving it.
Privacy and scope
The browser binds only to 127.0.0.1. Progress, answers, workspace paths, and
reported evidence remain in the local database and are ignored by Git. By
default, that database and the public-course cache live under .learndeck/;
the packaged macOS app keeps them under
~/Library/Application Support/LearnDeck/ instead. See the local progress
database and SECURITY.md.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
Neon Database
MCP server for interacting with Neon Management API and databases
E2B
Using MCP to run code via e2b.
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.